Study on the complexity of reservoir parameters inversionin partially saturated porous media

Licai Peng; Jianxin Nie; Dinghui Yang; Huizhu Yang

Study on the complexity of reservoir parameters inversionin partially saturated porous media

Licai Peng^*, Jianxin Nie, Dinghui Yang, Huizhu Yang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The main purpose of this paper is to further clarify the complexity of the inversion method by using Niche Genetic Algorithms (NGA) to inverse the petrophysical property parameters. The improved BISQ model, presented in our earlier work, is chosen for the forward model in NGA. In this paper, the relationship between the sample number of the given wave response data and the inversion results, such as the precision and stability, is detailedly discussed by means of numerical experiments. It is found that, with respect to the data examined, the precision of inversion results is mostly satisfied when the sample number of given data is chosen as N=5. The simulation results also show that the inversion results of the porosity are most stable, which relative error is less than 1.17% at all cases.

Original language	English
Title of host publication	Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06
Pages	198-202
Number of pages	5
Publication status	Published - 2006
Externally published	Yes
Event	2006 International Conference on Artificial Intelligence, ICAI'06 - Las Vegas, NV, United States Duration: 26 Jun 2006 → 29 Jun 2006

Publication series

Name	Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06
Volume	1

Conference

Conference	2006 International Conference on Artificial Intelligence, ICAI'06
Country/Territory	United States
City	Las Vegas, NV
Period	26/06/06 → 29/06/06

Keywords

Niche Genetic Algorithms
Parameters inversion

Cite this

@inproceedings{d8ebc2d4f9e8481ca70aa882ee899f11,

title = "Study on the complexity of reservoir parameters inversionin partially saturated porous media",

abstract = "The main purpose of this paper is to further clarify the complexity of the inversion method by using Niche Genetic Algorithms (NGA) to inverse the petrophysical property parameters. The improved BISQ model, presented in our earlier work, is chosen for the forward model in NGA. In this paper, the relationship between the sample number of the given wave response data and the inversion results, such as the precision and stability, is detailedly discussed by means of numerical experiments. It is found that, with respect to the data examined, the precision of inversion results is mostly satisfied when the sample number of given data is chosen as N=5. The simulation results also show that the inversion results of the porosity are most stable, which relative error is less than 1.17% at all cases.",

keywords = "Niche Genetic Algorithms, Parameters inversion",

author = "Licai Peng and Jianxin Nie and Dinghui Yang and Huizhu Yang",

year = "2006",

language = "English",

isbn = "9781932415988",

series = "Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06",

pages = "198--202",

booktitle = "Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06",

note = "2006 International Conference on Artificial Intelligence, ICAI'06 ; Conference date: 26-06-2006 Through 29-06-2006",

}

Peng, L, Nie, J, Yang, D & Yang, H 2006, Study on the complexity of reservoir parameters inversionin partially saturated porous media. in Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06. Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06, vol. 1, pp. 198-202, 2006 International Conference on Artificial Intelligence, ICAI'06, Las Vegas, NV, United States, 26/06/06.

Study on the complexity of reservoir parameters inversionin partially saturated porous media. / Peng, Licai; Nie, Jianxin; Yang, Dinghui et al.
Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06. 2006. p. 198-202 (Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Study on the complexity of reservoir parameters inversionin partially saturated porous media

AU - Peng, Licai

AU - Nie, Jianxin

AU - Yang, Dinghui

AU - Yang, Huizhu

PY - 2006

Y1 - 2006

N2 - The main purpose of this paper is to further clarify the complexity of the inversion method by using Niche Genetic Algorithms (NGA) to inverse the petrophysical property parameters. The improved BISQ model, presented in our earlier work, is chosen for the forward model in NGA. In this paper, the relationship between the sample number of the given wave response data and the inversion results, such as the precision and stability, is detailedly discussed by means of numerical experiments. It is found that, with respect to the data examined, the precision of inversion results is mostly satisfied when the sample number of given data is chosen as N=5. The simulation results also show that the inversion results of the porosity are most stable, which relative error is less than 1.17% at all cases.

AB - The main purpose of this paper is to further clarify the complexity of the inversion method by using Niche Genetic Algorithms (NGA) to inverse the petrophysical property parameters. The improved BISQ model, presented in our earlier work, is chosen for the forward model in NGA. In this paper, the relationship between the sample number of the given wave response data and the inversion results, such as the precision and stability, is detailedly discussed by means of numerical experiments. It is found that, with respect to the data examined, the precision of inversion results is mostly satisfied when the sample number of given data is chosen as N=5. The simulation results also show that the inversion results of the porosity are most stable, which relative error is less than 1.17% at all cases.

KW - Niche Genetic Algorithms

KW - Parameters inversion

UR - http://www.scopus.com/inward/record.url?scp=84866065866&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84866065866

SN - 9781932415988

T3 - Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06

SP - 198

EP - 202

BT - Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06

T2 - 2006 International Conference on Artificial Intelligence, ICAI'06

Y2 - 26 June 2006 through 29 June 2006

ER -

Study on the complexity of reservoir parameters inversionin partially saturated porous media

Abstract

Publication series

Conference

Keywords

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